Toward Multiband Sensing in FR3: Frequency Anisotropy Characterization and Non-Contiguous Bands Aggregation Algorithms

Fuente: arXiv
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Hauptverfasser: Pegoraro, Jacopo, Ventura, Gianmaria, Tagliaferri, Dario, Mezzavilla, Marco, Bedin, Andrea, Rossi, Michele, Widmer, Joerg
Format: Preprint
Veröffentlicht: 2025
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author Pegoraro, Jacopo
Ventura, Gianmaria
Tagliaferri, Dario
Mezzavilla, Marco
Bedin, Andrea
Rossi, Michele
Widmer, Joerg
author_facet Pegoraro, Jacopo
Ventura, Gianmaria
Tagliaferri, Dario
Mezzavilla, Marco
Bedin, Andrea
Rossi, Michele
Widmer, Joerg
contents Frequency Range 3 (FR3) in the 7-24 GHz band will be the new spectrum for 6G wireless networks. The bandwidth availability and diversity of FR3 offer unprecedented opportunities for coherent multiband Integrated Sensing and Communications (ISAC), which aggregates the carrier phase information from multiple frequency bands to increase the sensing resolution to the cm-level. However, the frequency anisotropy of sensing targets over GHz-wide bands and the non-contiguity of the 6G spectrum, pose critical challenges to the application of existing multiband ISAC techniques. We present the first study on coherent multiband sensing in FR3. We experimentally characterize the frequency anisotropy of targets and propose new phase coherence metrics for multiband processing. Then, we analyze the impact of non-contiguous FR3 bands considered by 3GPP, and design a new algorithm to mitigate the resulting sensing artifacts, outperforming existing techniques. Our results represent a first step toward fully developing multiband ISAC for FR3.
format Preprint
id arxiv_https___arxiv_org_abs_2510_03787
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Toward Multiband Sensing in FR3: Frequency Anisotropy Characterization and Non-Contiguous Bands Aggregation Algorithms
Pegoraro, Jacopo
Ventura, Gianmaria
Tagliaferri, Dario
Mezzavilla, Marco
Bedin, Andrea
Rossi, Michele
Widmer, Joerg
Signal Processing
Frequency Range 3 (FR3) in the 7-24 GHz band will be the new spectrum for 6G wireless networks. The bandwidth availability and diversity of FR3 offer unprecedented opportunities for coherent multiband Integrated Sensing and Communications (ISAC), which aggregates the carrier phase information from multiple frequency bands to increase the sensing resolution to the cm-level. However, the frequency anisotropy of sensing targets over GHz-wide bands and the non-contiguity of the 6G spectrum, pose critical challenges to the application of existing multiband ISAC techniques. We present the first study on coherent multiband sensing in FR3. We experimentally characterize the frequency anisotropy of targets and propose new phase coherence metrics for multiband processing. Then, we analyze the impact of non-contiguous FR3 bands considered by 3GPP, and design a new algorithm to mitigate the resulting sensing artifacts, outperforming existing techniques. Our results represent a first step toward fully developing multiband ISAC for FR3.
title Toward Multiband Sensing in FR3: Frequency Anisotropy Characterization and Non-Contiguous Bands Aggregation Algorithms
topic Signal Processing
url https://arxiv.org/abs/2510.03787